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https://issues.apache.org/jira/browse/ARROW-10344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gert Hulselmans updated ARROW-10344:
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Description:
Is there a way to get all column names (or schema) from a Feather file before
loading the full Feather file?
My Feather files are big (like 100GB) and the names of the columns are
different per analysis and can't be hard coded.
{code:python}
import pyarrow.feather as feather
# Code here to check which columns are in the feather file.
...
my_columns = ...
# Result is pandas.DataFrame
read_df = feather.read_feather('/path/to/file', columns=my_columns)
# Result is pyarrow.Table
read_arrow = feather.read_table('/path/to/file', columns=my_columns)
{code}
was:
Is there a way to get all column names (and e.g. number of columns and number
of rows) from a Feather file before loading the full Feather file?
My Feather files are big (like 100GB) and the names of the columns are
different per analysis and can't be hard coded.
{code:python}
import pyarrow.feather as feather
# Code here to check which columns are in the feather file.
...
my_columns = ...
# Result is pandas.DataFrame
read_df = feather.read_feather('/path/to/file', columns=my_columns)
# Result is pyarrow.Table
read_arrow = feather.read_table('/path/to/file', columns=my_columns)
{code}
Summary: [Python] Get all columns names (or schema) from Feather file,
before loading whole Feather file (was: [Python] Get all columns names from
Feather file, before loading whole Feather file)
> [Python] Get all columns names (or schema) from Feather file, before loading
> whole Feather file
> ------------------------------------------------------------------------------------------------
>
> Key: ARROW-10344
> URL: https://issues.apache.org/jira/browse/ARROW-10344
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Affects Versions: 1.0.1
> Reporter: Gert Hulselmans
> Priority: Major
>
> Is there a way to get all column names (or schema) from a Feather file before
> loading the full Feather file?
> My Feather files are big (like 100GB) and the names of the columns are
> different per analysis and can't be hard coded.
> {code:python}
> import pyarrow.feather as feather
> # Code here to check which columns are in the feather file.
> ...
> my_columns = ...
> # Result is pandas.DataFrame
> read_df = feather.read_feather('/path/to/file', columns=my_columns)
> # Result is pyarrow.Table
> read_arrow = feather.read_table('/path/to/file', columns=my_columns)
> {code}
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